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Unsupervised Learning with Self-Organizing Spiking Neural Networks
We present a hybridization of self-organized map (SOM) properties with spiking neural networks (SNNs) that retain many of the features of SOMs. Expand
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BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms. Expand
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Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data
Spiking neural networks (SNNs) with a lattice architecture are introduced in this work, combining several desirable properties of SNNs and self-organized maps (SOMs). Expand
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